mohmdsh/whisper-small-arabic-finetuned-on-halabi_daataset_no-diacritics-2

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whisper-small-arabic-finetuned-on-halabidaatasetno-diacritics-2

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2181
• —Wer: 0.2491

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —training_steps: 1000

Training results

Framework versions

• —Transformers 4.47.0.dev0
• —Pytorch 2.5.1
• —Datasets 3.1.0
• —Tokenizers 0.20.3